Applications of Artificial Intelligence in Pancreatic Cystic Lesion Imaging
10.3881/j.issn.1000-503X.15633
- VernacularTitle:人工智能在胰腺囊性病变影像领域应用进展
- Author:
Wenyi DENG
1
;
Feiyang XIE
;
Huadan XUE
Author Information
1. 中国医学科学院 北京协和医学院协和转化医学中心 北京协和医院放射科, 北京 100730
- Keywords:
pancreatic cystic lesions;
artificial intelligence;
image post-processing;
detection;
segmentation;
diagnosis;
dif-ferential diagnosis
- From:
Acta Academiae Medicinae Sinicae
2024;46(2):275-280
- CountryChina
- Language:Chinese
-
Abstract:
As the detection rate of pancreatic cystic lesions(PCL)increases,artificial intelligence(AI)has made breakthroughs in the imaging workflow of PCL,including image post-processing,lesion detection,segmentation,diagnosis and differential diagnosis.AI-based image post-processing can optimize the quality of medical images and AI-assisted models for lesion detection,segmentation,diagnosis and differential diagnosis significantly enhance the work efficiency of radiologists.This article reviews the application progress of AI in PCL imaging and provides prospects for future research directions.
